Rejection via Learning Density Ratios

Classification with rejection emerges as a learning paradigm which allows models to abstain from making predictions. The predominant approach is to alter the supervised learning pipeline by augmenting typical loss functions, letting model rejection incur a lower loss than an incorrect prediction. In...

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Hauptverfasser: Soen, Alexander, Husain, Hisham, Schulz, Philip, Nguyen, Vu
Format: Artikel
Sprache:eng
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